Towards an Automated Management of Well-Being Goals in Nursing Homes

  • Carlos MüllerEmail author
  • Pablo Fernández
  • Antonio Ruiz-Cortés
  • Fabio Casati
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1185)


Nursing home culture change movement advocates for care that is less hospital-like, and more patient-centered. Despite being a step towards the good direction in providing a proper service for elderly people, considering their well-being is not easy due to a number of factors as: specific treatments with a high price; the number of involved stakeholders (e.g. patient, doctors, relatives, nursing home clerks, funding organisations, etc); or the difficulties to gather an accurate measure for the patients well-being. In current position paper we devise some potential challenges that arise in this context and we provide our insights on potential techniques to solve them by means of a framework to automate the management of well-being goals in nursing homes.


Well-being Nursing-homes IoT Analysis 


  1. 1.
    Gillick, M.R., The Evolution of the Nursing Home: Old and Sick in America: The Journey Through the Health Care System, American Scientist. The Misperception of Addiction, vol. 106, no. 3 (2018).
  2. 2.
  3. 3.
    Berrocal, J., Garcia-Alonso, J., Canal, C., Murillo, J.M.: Towards multi-device context aware systems for elders well-being. In: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, pp. 750–753 (2018)Google Scholar
  4. 4.
    Di Fiore, A., Ceschel, F., Nurgalieva, L., Marchese, M., Casati, F.: Design considerations to support nursing homes’ communities. In: Proceedings of the 8th International Conference on Communities and Technologies, pp. 64–67 (2017)Google Scholar
  5. 5.
    Müller, C., Fernandez, P., Gutierrez, A.M., Martín-Díaz, O., Resinas, M., Ruiz-Cortés, A.: Automated validation of compensable SLAs. IEEE Trans. Serv. Comput. (2018, Pre-print).
  6. 6.
    Müller, C., Resinas, M., Ruiz-Cortés, A.: Automated analysis of conflicts in WS-agreement. IEEE Trans. Serv. Comput. 7(4), 530–544 (2014)CrossRefGoogle Scholar
  7. 7.
    Müller, C., et al.: Comprehensive explanation of SLA violations at runtime. IEEE Trans. Serv. Comput. 7(2), 168–183 (2014)CrossRefGoogle Scholar
  8. 8.
    Cabanillas, C., Resinas, M., Ruiz-Cortés, A.: A template-based approach for responsibility management in executable business processes. Enterp. Inf. Syst. 12(5), 550–586 (2018)CrossRefGoogle Scholar
  9. 9.
    López-Pintado, O., García-Baũelos, L., Dumas, M., Weber, I., Ponomarev, A.: CATERPILLAR: A Business Process Execution Engine on the Ethereum Blockchain. CoRR. Volume abs/1808.03517 (2018)Google Scholar
  10. 10.
    Beck, A., Steer, R., Brown, G.: The Beck Depression Inventory (BDI-II), vol. 2, pp. 490–498. Psychological Corporation, San Antonio (1996)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Carlos Müller
    • 1
    Email author
  • Pablo Fernández
    • 1
  • Antonio Ruiz-Cortés
    • 1
  • Fabio Casati
    • 2
    • 3
    • 4
  1. 1.E.T.S. Ingeniería InformáticaUniversidad of SevilleSevilleSpain
  2. 2.Department of Information Engineering and Computer ScienceUniversity of TrentoTrentoItaly
  3. 3.Tomsk Polytechnic UniversityTomskRussia
  4. 4.ServicenowSanta ClaraUSA

Personalised recommendations